The Yin and Yang of Processing Data Warehousing Queries on GPU Devices. - Yuan Yuan 014; Rubao Lee; Xiaodong Zhang 001 (Proc. VLDB Endow., 2013)

Major technical advancements in apache hive. - Yin Huai; Ashutosh Chauhan; Alan Gates; Günther Hagleitner; Eric N. Hanson; Owen O'Malley; Jitendra Pandey; Yuan Yuan 014; Rubao Lee; Xiaodong Zhang 001 (SIGMOD Conference, 2014)

Concurrent Analytical Query Processing with GPUs. - Kaibo Wang; Kai Zhang 006; Yuan Yuan 014; Siyuan Ma; Rubao Lee; Xiaoning Ding; Xiaodong Zhang 001 (Proc. VLDB Endow., 2014)

SideWalk: A Facility of Lightweight Out-of-Band Communications for Augmenting Distributed Data Processing Flows. - Yin Huai; Yuan Yuan 014; Rubao Lee; Xiaodong Zhang 001 (CLUSTER, 2015)

Hetero-DB: Next Generation High-Performance Database Systems by Best Utilizing Heterogeneous Computing and Storage Resources. - Kai Zhang 006; Feng Chen 005; Xiaoning Ding; Yin Huai; Rubao Lee; Tian Luo; Kaibo Wang; Yuan Yuan 014; Xiaodong Zhang 001 (J. Comput. Sci. Technol., 2015)

Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores. - Kai Zhang 006; Kaibo Wang; Yuan Yuan 014; Lei Guo 004; Rubao Lee; Xiaodong Zhang 001 (Proc. VLDB Endow., 2015)

Spark-GPU: An accelerated in-memory data processing engine on clusters. - Yuan Yuan 014; Meisam Fathi Salmi; Yin Huai; Kaibo Wang; Rubao Lee; Xiaodong Zhang 001 (IEEE BigData, 2016)

BCC: Reducing False Aborts in Optimistic Concurrency Control with Low Cost for In-Memory Databases. - Yuan Yuan 014; Kaibo Wang; Rubao Lee; Xiaoning Ding; Jing Xing; Spyros Blanas; Xiaodong Zhang 001 (Proc. VLDB Endow., 2016)

Feisu: Fast Query Execution over Heterogeneous Data Sources on Large-Scale Clusters. - An Qin 001; Yuan Yuan 014; Dai Tan; Pengyu Sun; Xiang Zhang; Hao Cao; Rubao Lee; Xiaodong Zhang 001 (ICDE, 2017)

A distributed in-memory key-value store system on heterogeneous CPU-GPU cluster. - Kai Zhang 006; Kaibo Wang; Yuan Yuan 014; Lei Guo 004; Rubao Li; Xiaodong Zhang 001; Bingsheng He; Jiayu Hu; Bei Hua (VLDB J., 2017)

SQLoop: High Performance Iterative Processing in Data Management. - Sofoklis Floratos; Yanfeng Zhang; Yuan Yuan 014; Rubao Lee; Xiaodong Zhang 001 (ICDCS, 2018)

Fast Fault-Tolerant Sampling via Random Walk in Dynamic Networks. - Yuan Yuan 014; Feng Li 002; Dongxiao Yu; Jiguo Yu; Yu Wu 010; Weifeng Lv; Xiuzhen Cheng 001 (ICDCS, 2019)

NestGPU: Nested Query Processing on GPU. - Sofoklis Floratos; Mengbai Xiao; Hao Wang 002; Chengxin Guo; Yuan Yuan 014; Rubao Lee; Xiaodong Zhang 001 (ICDE, 2021)

Distributed Social Learning With Imperfect Information. - Yuan Yuan 014; Feng Li 002; Dongxiao Yu; Jichao Zhao; Jiguo Yu; Xiuzhen Cheng 001 (IEEE Trans. Netw. Sci. Eng., 2021)

D-(DP)2SGD: Decentralized Parallel SGD with Differential Privacy in Dynamic Networks. - Yuan Yuan 014; Zongrui Zou; Dong Li; Li Yan; Dongxiao Yu (Wirel. Commun. Mob. Comput., 2021)

Resource-Adaptive Newton's Method for Distributed Learning. - Shuzhen Chen 001; Yuan Yuan 014; Youming Tao 001; Zhipeng Cai 001; Dongxiao Yu (COCOON (1), 2023)

Decentralized Parallel SGD Based on Weight-Balancing for Intelligent IoV. - Yuan Yuan 014; Jiguo Yu; Xiaolu Cheng; Zongrui Zou; Dongxiao Yu; Zhipeng Cai 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Fed-MS: Fault Tolerant Federated Edge Learning with Multiple Byzantine Servers. - Senmao Qi; Hao Ma; Yifei Zou; Yuan Yuan 014; Peng Li 017; Dongxiao Yu (ICDCS, 2024)

Fed-NAD: Backdoor Resilient Federated Learning via Neural Attention Distillation. - Hao Ma; Senmao Qi; Jiayue Yao; Yuan Yuan 014; Yifei Zou; Dongxiao Yu (IDS, 2024)

BR-DeFedRL: Byzantine-Robust Decentralized Federated Reinforcement Learning with Fast Convergence and Communication Efficiency. - Jing Qiao; Zuyuan Zhang; Sheng Yue; Yuan Yuan 014; Zhipeng Cai 001; Xiao Zhang 015; Ju Ren 001; Dongxiao Yu (INFOCOM, 2024)

Fed-MoE: Efficient Federated Learning for Mixture-of-Experts Models via Empirical Pruning. - Yifei Zou; Senmao Qi; Yuan Yuan 014; Dawei Wang 007; Shikun Shen; Libing Wu; Shaoyong Guo; Dongxiao Yu (PDCAT, 2024)

Federating to Grow Transformers with Constrained Resources without Model Sharing. - Shikun Shen; Yifei Zou; Yuan Yuan 014; Yanwei Zheng; Peng Li 017; Xiuzhen Cheng 001; Dongxiao Yu (CoRR, 2024)

Unity is Power: Semi-Asynchronous Collaborative Training of Large-Scale Models with Structured Pruning in Resource-Limited Clients. - Yan Li; Mingyi Li; Xiao Zhang 015; Guangwei Xu; Feng Chen 005; Yuan Yuan 014; Yifei Zou; Mengying Zhao; Jianbo Lu; Dongxiao Yu (CoRR, 2024)

Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts. - Haiyang Jiang 017; Tong Chen 005; Wentao Zhang 001; Nguyen Quoc Viet Hung; Yuan Yuan 014; Yong Li; Lizhen Cui (CoRR, 2024)

BR-FEEL: A backdoor resilient approach for federated edge learning with fragment-sharing. - Senmao Qi; Hao Ma; Yifei Zou; Yuan Yuan 014; Peng Li 017; Dongxiao Yu (J. Syst. Archit., 2024)

Distributed Learning for Large-Scale Models at Edge With Privacy Protection. - Yuan Yuan 014; Shuzhen Chen 001; Dongxiao Yu; Zengrui Zhao; Yifei Zou; Lizhen Cui; Xiuzhen Cheng 001 (IEEE Trans. Computers, 2024)

A Case Study for Ray Tracing Cores: Performance Insights with Breadth-First Search and Triangle Counting in Graphs. - Zhixiong Xiao; Mengbai Xiao; Yuan Yuan 014; Dongxiao Yu; Rubao Lee; Xiaodong Zhang 001 (SIGMETRICS (Abstracts), 2025)

Adaptive pruning-based Newton's method for distributed learning. - Shuzhen Chen 001; Yuan Yuan 014; Youming Tao 001; Tianzhu Wang; Zhipeng Cai 001; Dongxiao Yu (Theor. Comput. Sci., 2025)

TAMO:Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent with Multi-Modality Observation Data. - Qi Wang; Xiao Zhang 015; Mingyi Li; Yuan Yuan 014; Mengbai Xiao; Fuzhen Zhuang; Dongxiao Yu (CoRR, 2025)

Pruning-Based Adaptive Federated Learning at the Edge. - Dongxiao Yu; Yuan Yuan 014; Yifei Zou; Xiao Zhang 015; Yu Liu; Lizhen Cui; Xiuzhen Cheng 001 (IEEE Trans. Computers, 2025)

DistrAttention: An Efficient and Flexible Self-Attention Mechanism on Modern GPUs. - Haolin Jin; Mengbai Xiao; Yuan Yuan 014; Xiao Zhang 015; Dongxiao Yu; Guanghui Zhang; Haoliang Wang (CoRR, 2025)